12 Useful Algorithms for 12 Days of Christmas

TF-IDF stands for Term Frequency -Inverse Document Frequency, and it is used to determine how important a word is a document in a corpus (a collection of documents). Specifically, the TD-IDF value for a given word increases relative to the number of times a word appears in the document and decreases by the number of documents in the corpus that also contain that particular word. This is to account for words that are used more commonly in general. TF-IDF is a popular technique in the field of Natural Language Processing (NLP) and information retrieval. The Apriori Algorithm is an association rule algorithm and is most commonly used to determine groups of items that are most closely associated with each other in an itemset.